NYSE:JAG
Delisted
Jaguar Mining Inc (USA) Stock Price (Quote)
$8.23
+0 (+0%)
At Close: Apr 16, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $8.23 | $8.23 | Thursday, 16th Apr 2020 JAG stock ended at $8.23. During the day the stock fluctuated 0% from a day low at $8.23 to a day high of $8.23. |
90 days | $8.23 | $8.23 | |
52 weeks | $5.80 | $11.39 |
Date | Open | High | Low | Close | Volume |
Nov 20, 2019 | $6.78 | $7.06 | $6.73 | $6.99 | 3 964 547 |
Nov 19, 2019 | $7.06 | $7.09 | $6.75 | $6.80 | 6 284 982 |
Nov 18, 2019 | $7.24 | $7.24 | $7.00 | $7.06 | 1 892 993 |
Nov 15, 2019 | $7.24 | $7.32 | $7.15 | $7.32 | 1 553 521 |
Nov 14, 2019 | $7.29 | $7.44 | $7.11 | $7.16 | 1 329 695 |
Nov 13, 2019 | $7.48 | $7.48 | $7.21 | $7.29 | 2 325 120 |
Nov 12, 2019 | $7.62 | $7.63 | $7.38 | $7.49 | 2 073 404 |
Nov 11, 2019 | $7.52 | $7.65 | $7.41 | $7.60 | 2 329 847 |
Nov 08, 2019 | $7.62 | $7.69 | $7.49 | $7.65 | 3 162 612 |
Nov 07, 2019 | $7.62 | $7.82 | $7.62 | $7.75 | 3 791 855 |
Nov 06, 2019 | $7.51 | $7.75 | $7.32 | $7.52 | 3 019 300 |
Nov 05, 2019 | $7.64 | $7.86 | $7.53 | $7.61 | 4 245 563 |
Nov 04, 2019 | $7.43 | $7.63 | $7.43 | $7.56 | 3 553 755 |
Nov 01, 2019 | $7.18 | $7.32 | $7.11 | $7.30 | 2 041 014 |
Oct 31, 2019 | $6.94 | $7.09 | $6.79 | $7.09 | 3 942 202 |
Oct 30, 2019 | $7.44 | $7.48 | $6.93 | $6.96 | 2 634 680 |
Oct 29, 2019 | $7.26 | $7.46 | $7.19 | $7.42 | 4 242 614 |
Oct 28, 2019 | $7.53 | $7.64 | $7.27 | $7.33 | 2 990 660 |
Oct 25, 2019 | $7.25 | $7.57 | $7.25 | $7.52 | 2 293 761 |
Oct 24, 2019 | $7.45 | $7.49 | $7.25 | $7.28 | 2 171 532 |
Oct 23, 2019 | $7.22 | $7.46 | $7.15 | $7.40 | 4 640 014 |
Oct 22, 2019 | $7.03 | $7.37 | $6.92 | $7.29 | 5 828 273 |
Oct 21, 2019 | $6.80 | $6.93 | $6.71 | $6.93 | 5 273 541 |
Oct 18, 2019 | $7.14 | $7.18 | $6.77 | $6.77 | 4 092 702 |
Oct 17, 2019 | $7.11 | $7.29 | $7.06 | $7.16 | 8 832 703 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use JAG stock historical prices to predict future price movements?
Trend Analysis: Examine the JAG stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the JAG stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.